Bibliographic Details
| Title: |
A Three-Dimensional Imaging Method for Unmanned Aerial Vehicle-Borne SAR Based on Nested Difference Co-Arrays and Azimuth Multi-Snapshots. |
| Authors: |
Shi, Ruizhe1,2,3 (AUTHOR) shiruizhe19@mails.ucas.ac.cn, Luo, Yitong4,5 (AUTHOR) luoyitong@aircas.ac.cn, Zhang, Zhe4,5 (AUTHOR) zhangzhe01@aircas.ac.cn, Qiu, Xiaolan1,2,3 (AUTHOR) cbding@mail.ie.ac.cn, Ding, Chibiao1 (AUTHOR) |
| Source: |
Remote Sensing. Feb2025, Vol. 17 Issue 3, p516. 14p. |
| Subject Terms: |
*THREE-dimensional imaging, *ANTENNA arrays, *ELECTROMAGNETIC wave scattering, *ANTENNAS (Electronics), *ANTENNA design |
| Abstract: |
Due to its miniature size and single-pass nature, Unmanned Aerial Vehicle (UAV)-borne array synthetic aperture radar (SAR) is capable of obtaining three-dimensional (3D) electromagnetic scattering information with a low cost and high efficiency, making it widely applicable in various fields. However, the limited payload capacity of the UAV platform results in a limited number of array antennas and affects 3D resolution. This paper proposes a 3D imaging method for UAV-borne SAR based on nested difference co-arrays and azimuth multi-snapshots. We first designed an antenna arrangement based on nested arrays, generating a virtual antenna twice as long as the original one. Then, we used a difference co-array method for 3D imaging. The required multi-snapshot data were obtained through azimuth down-sampling, rather than traditional spatial averaging methods. Due to the slow flight of the UAV, this method could generate multiple SAR images without affecting the two-dimensional resolution. Based on simulations and real data verification, the proposed algorithm overcomes the problem of two-dimensional resolution decline caused by traditional spatial averaging methods and improves three-dimensional resolution ability, theoretically achieving half the Rayleigh resolution. [ABSTRACT FROM AUTHOR] |
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| Database: |
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